2018-01-22
Engage in the data/science research pipeline in as faithful a manner as possible while maintaining a level suitable for novices.
Domains include: Neuroscience, polisci, environmental studies, econ, biology, …
In other words, engage with all of this…
… and not just this.
We'll be engaging in a simplified version of the whole data/science pipeline. Think how children learn "tee-ball" and "play the whole game" first…
… and then eventually graduate to softball/baseball.
Develop the toolbox necessary to "think with data":
Data modeling for
Latter is used in the booming field of machine learning:

Plato's allegory of the cave
Plato's allegory of the cave
Plato's allegory of the cave
Plato's allegory of the cave
Take your first steps coding.
Two possible "engines" for this class:
We're going to focus on the latter. What does this mean?
| Less of this: | But more of this: |
|---|---|
Develop your statistical literacy, a necessary ability for effective citizenship.
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write."
I gave a TED talk on 3 ways to spot a bad statistic. I really hope you like it https://t.co/IjijWfyRTk pic.twitter.com/36BJZrpirx
— Mona Chalabi (@MonaChalabi) March 24, 2017